We present a reconfigurable array which performs blind source separation on a range of field-programmable gate array (FPGA) devices. Our array uses independent component analysis (ICA) with the InfoMax algorithm to separate a mixture of signals without an external reference. We describe two configurations of the array, representing distinct points in the design space. Our experimental results show a performance improvement of more than one order of magnitude over an optimized software implementation of the algorithm on a computer, with a power consumption of just 100mW. Our array successfully separates a fetal electrocardiogram (ECG) mixture into the source signals of mother and fetus, enabling medical analysis on the resulting independent components.